數值型檢驗報告自動驗證判斷準則參數之研究
中文摘要
研究目的：本研究主要探討日間嗜睡是否為整體生活品質之預測因子及比較不同失眠型 態心臟衰竭病患日間嗜睡、自覺睡眠品質及整體生活品質之差異。研究方法：本研究採 橫斷性研究設計，收集 56 位心臟衰竭個案。個案首先佩帶活動式睡眠手錶並記錄一週 睡眠日誌收集一週睡眠情形，之後填寫「台灣簡明版世界衛生組織生活品質問卷」、
「中文版匹茲堡睡眠品質問卷」及「中文版愛渥斯嗜睡量表」。以睡眠手錶所測得之入 睡潛伏時間大於 30 分、睡眠中斷醒來時間大於 30 分將其區分為入睡困難型、睡眠中斷 型、混合型及無失眠型態者。
結果：控制了年齡後，日間嗜睡可解釋 10% 生活品質之環境範疇變異量，為整體生活 品質之環境範疇的獨立預測因子，日間嗜睡得分越高其整體生活品質之環境範疇得分越 低（ F = 6.73, p = .012 ）日間嗜睡與睡眠品質得分皆是整體生活品質總分的獨立預測因 子，兩者可解釋 22% 的生活品質總分的差異量（ F = 8.39, p = .001 ）。心臟衰竭病人之 整體生活品質生理範疇分數，顯著較同年齡層台灣人常模分數差（ p = .003 ），而心臟 衰竭病人之整體生活品質環境範疇分數較同年齡層台灣人常模分數佳（ p = .001 ）。混 合兩種失眠型態、一種失眠型態及無失眠型態三組患者在整體生活品質、睡眠品質與日 間嗜睡無統計學之顯著差異（ p = .64, p = .32, p = .22 ）。經由睡眠手錶測量之睡眠中斷 醒來時間顯著大於睡眠日誌所測量之睡眠中斷醒來時間（ p < .001 ），而由睡眠手錶測 得之睡眠總時數平均值顯著低於睡眠日誌所測的之睡眠總時數平均值（ p < .001 ）。
結論：本研究發現日間嗜睡為整體生活品質之預測因子，有混合失眠型態的心臟衰竭病 人並無較差的睡眠品質、日間嗜睡或生活品質。
Study of Autoverification Criteria and Parameters for Numerical Laboratory Reporting
英文摘要
Title of Thesis: Daytime Sleepiness, Sleep Quality, and Quality of Life in Patients With Heart Failure
Institution: Graduate Institute of Nursing, Taipei Medical University
Author: Hsiang-Lien Hung
Thesis directed by: Pei-Shan Tsai, Ph. D., Associate Professor
Purposes: The purposes of this study were to: (1) determine whether daytime sleepiness is a predictor of the overall quality of life in patients with heart failure (HF) and (2) compare the differences in daytime sleepiness, sleep quality, and overall quality of life among HF patients with different types of insomnia.
Methods: This study used a correlational design and the sample consisted of 56 patients with HF. All participants wore a wrist actigraph and recorded the sleep log for a 7-day period. They also filled out the World Health Organization Quality of Life-B REF (WHOQOL-BREF) -Taiwan Version, the Chinese version of the Pittsburgh Sleep Quality Index (CPSQI), and the Chine se version of the Epworth Sleepiness Scale (CESS). The wrist actigraph was used to evaluate the insomnia type. A sleep onset latency of greater than 30 min and a wake time after sleep onset of greater than 30 min were used to define difficulty initiating sleep, and difficulty maintaining sleep.
Results: Daytime sleepiness predicted 10% of the variances in environmental domain of the quality of life (F = 6.73, p = .012) with a higher CESS score resulting in a lower WHOQOL-BREF score after controlling for age. CESS and CPSQI predicted 2 2% of the variances in the quality of life (F = 8.39, p = .001). In comparison with the age-specific norm, patients with HF had significantly lower scores in the physical domain of the quality of life (p = .003), but had significantly higher scores in the env ironmental domain of the quality of life (p = .001). Patients with different types of insomnia did not significantly differ in the overall quality of life, sleep quality and daytime sleepiness. Wake time after sleep onset assessed by the wrist actigraph was si gnificantly longer than that measured by the sleep diary (p < .001), but the total sleep time assessed by the wrist actigraph was significantly shorter than that recorded by the sleep log (p < .001).
Conclusion: Daytime sleepiness predicted the overall quality of life. Heart Failure patients with more than one type of insomn ia did not have worse sleep quality, higher daytime sleepiness, or lower quality of life as compared to those with one or none i nsomnia type.
